Abstract
An improved adaptive fuzzy sliding mode large envelope flight control method was approved. The method realized the inversion of the nonlinear model using wavelet neural network. In order to approach the nonlinear model accurately, the wavelet neural network was optimized using simulated annealing particle swarm optimization algorithm. The sliding mode control was used to compensate the inversion error with adaptive control for improving robustness and transient characteristic performance. The simulation results show the design adaptive fuzzy sliding mode large envelope flight controller has excellent control performance.
| Original language | English |
|---|---|
| Pages (from-to) | 1262-1264+1278 |
| Journal | Xitong Fangzhen Xuebao / Journal of System Simulation |
| Volume | 20 |
| Issue number | 5 |
| State | Published - 5 Mar 2008 |
Keywords
- Adaptive control
- Nonlinear control
- Simulated annealing
- Sliding mode control
- Wavelet neural network